Accor's global in-house legal team of around 140 lawyers adopted Legora after a six-month expert trial, using its Word/Outlook add-ins and tabular review for drafting, review and large-scale contract portfolio analysis; Accor reports about 99% regular usage and 90%+ time reductions on some work (reported by Legora / Accor)
L1 · Assistive Verified · Production
Travel — Legal Ops
Packaging maker ALPLA (47 countries, 23,000+ employees, 196 plants) has a small legal team and contracts handled manually in local languages. It implemented the Icertis Contract Intelligence platform and RiskAI, a generative AI application that evaluates contract risk against ALPLA's own legal playbooks and templates, starting with NDAs. RiskAI classifies each contract red, yellow or green so non-legal field teams can tell which contracts need legal review, and an AI Copilot trained by the legal department is available 24/7. ALPLA reports a 60% reduction in external legal spend, attributed in large part to AI-driven NDA review, and 79% active Copilot use among licensed users as of February 2025 (reported by Icertis, citing ALPLA). ALPLA had framed its need as the equivalent of 25 additional employees, an estimate
L3 · Conditional Verified · Production
Manufacturing — Legal Ops
Alturas Capital Partners, an Idaho real estate investment firm running a $675M commercial fund with over 4 million square feet, used to see lease documents stall for weeks in legal review while its legal operations manager built templates and formatted drafts by hand. Its in-house legal team now uses Spellbook in Microsoft Word to draft custom lease clauses that match the firm's formatting and defined terms, finalize redlines, and flag risks with explanations of what happens if a term is not changed. Lawyers still review and send. Alturas says drafting that took hours now takes minutes, brokers describe it as one of the fastest landlords on lease turnaround, and outside counsel spend has fallen by 'hundreds of thousands of dollars' over a short period (reported by Spellbook, citing Alturas; self-reported estimates, no exact figures)
L1 · Assistive Verified · Production
Financial Services — Legal Ops
Working for a Fortune 500 company facing a high-stakes breach-of-contract suit, a top litigation boutique (not named) was ordered to substantially complete discovery in five weeks, leaving its lean team 45,824 documents and little time for quality control. With DISCO's AI Consulting team it tuned prompts for responsiveness and seven issue tags, then ran DISCO Auto Review, a generative AI first-pass review tool, across the set. The review finished in 2 hours 12 minutes with 95% recall and 91% precision (reported by DISCO); how recall and precision were validated, and how much human QC followed, is not stated on the page
L2 · Supervised Unverified · Reported
Cross-industry — Legal Ops
Asset manager Barings embedded Zip's DORA AI Agent in vendor intake to auto-screen requests for EU DORA scope, cutting manual DORA reviews ~90% (reported by Zip / Barings)
L3 · Conditional Verified · Production
Financial Services — Legal Ops
Benjamin Moore's associate general counsel consolidated contracting across procurement, sales and retailer agreements into Ironclad, with workflows routed by contract value. Within Ironclad, he uses the Contract Review Agent to translate contracts and workflows from English to French, and checked accuracy by comparing its output with translations from the company's existing translation service, finding they matched 'in almost all respects'. He says the agent has saved him 'hours and hours'; the team also uses AI playbooks and clause libraries for risk analysis and template management (reported by Ironclad, citing Benjamin Moore). No precise time figure is given
L1 · Assistive Verified · Production
Manufacturing — Legal Ops